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» Stability of Feature Selection Algorithms
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ICML
1997
IEEE
14 years 1 days ago
Efficient Feature Selection in Conceptual Clustering
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...
Mark Devaney, Ashwin Ram
SIGGRAPH
1999
ACM
14 years 24 days ago
Implicit Fairing of Irregular Meshes Using Diffusion and Curvature Flow
In this paper, we develop methods to rapidly remove rough features from irregularly triangulated data intended to portray a smooth surface. The main task is to remove undesirable ...
Mathieu Desbrun, Mark Meyer, Peter Schröder, ...
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
14 years 2 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
DMIN
2007
203views Data Mining» more  DMIN 2007»
13 years 10 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Improved Similarity-Based Online Feature Selection in Region-Based Image Retrieval
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
Fei Li, Qionghai Dai, Wenli Xu